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Alain Tapp, Yoshua Bengio, and Nicolas Le Roux

Développé par IVADO et le MILA , ce cours d'une durée totale de 5 heures présente les concepts fondamentaux de l'apprentissage profond à travers 5 modules de formation proposés en français.

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Développé par IVADO et le MILA , ce cours d'une durée totale de 5 heures présente les concepts fondamentaux de l'apprentissage profond à travers 5 modules de formation proposés en français.

Le contenu sera présenté à l’aide de vidéos pédagogiques présentés par des spécialistes du domaine: Alain Tapp, Yoshua Bengio et Nicolas Le Roux.

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What's inside

Learning objectives

  • Le cours introduction à l'apprentissage profond a été conçu pour ceux qui désirent:
  • Comprendre en quoi consiste l'apprentissage profond,
  • Comprendre quels types de problèmes peuvent être résolus à l'aide de ces techniques,
  • Se familiariser avec les concepts fondamentaux et méthodes utilisées en apprentissage profond.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Convient à ceux qui veulent comprendre les bases de l'apprentissage profond
Adapté aux personnes qui souhaitent résoudre des problèmes spécifiques à l'aide de techniques d'apprentissage profond
Présenté en français, ce qui peut être un atout pour les locuteurs natifs ou les apprenants de français
Conçu et présenté par des experts reconnus dans le domaine de l'apprentissage profond

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction à l'apprentissage profond with these activities:
Review key concepts of deep learning
Reviewing key concepts of deep learning, such as convolutional neural networks, recurrent neural networks, and generative adversarial networks, will help you better understand the course material.
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  • Read through the course syllabus and identify the key concepts of deep learning.
  • Review your notes or textbooks from previous courses on machine learning or artificial intelligence.
  • Watch online tutorials or videos on deep learning.
Follow online tutorials on deep learning
Following online tutorials on deep learning will provide you with a hands-on introduction to the subject.
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  • Find a reputable online course or tutorial on deep learning.
  • Follow the instructions in the tutorial carefully.
  • Complete the exercises and assignments in the tutorial.
  • Ask questions and get help from the instructor or other students in the tutorial.
Read a book on deep learning
Reading a book on deep learning will provide you with a comprehensive understanding of the subject.
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  • Choose a book on deep learning that is appropriate for your level of knowledge.
  • Set aside time each day to read the book.
  • Take notes and highlight important passages.
  • Test your understanding by working through the exercises and assignments at the end of each chapter.
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Attend a deep learning conference or meetup
Attending a deep learning conference or meetup will allow you to connect with other people in the field and learn about the latest research and developments.
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  • Find a deep learning conference or meetup in your area.
  • Register for the event.
  • Attend the event and participate in the activities.
  • Network with other attendees and learn about their work.
Practice solving deep learning problems
Practicing solving deep learning problems will help you develop your problem-solving skills and deepen your understanding of the concepts.
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  • Work through the practice problems provided in the course materials.
  • Find additional practice problems online or in textbooks.
  • Participate in online forums or discussion groups to ask questions and get help from other students.
Participate in a deep learning workshop
Participating in a deep learning workshop will provide you with a more in-depth understanding of the subject and allow you to learn from experienced professionals.
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  • Find a deep learning workshop that is appropriate for your level of knowledge.
  • Register for the workshop.
  • Attend the workshop and participate in the activities.
  • Network with other attendees and learn about their work.
Create a presentation on a deep learning topic
Creating a presentation on a deep learning topic will help you synthesize your knowledge and develop your communication skills.
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  • Choose a specific deep learning topic to focus on.
  • Research your topic and gather information from various sources.
  • Organize your information into a logical flow.
  • Create visual aids, such as slides or diagrams, to support your presentation.
  • Practice your presentation and get feedback from others.
Develop a deep learning project
Developing a deep learning project will allow you to apply your skills and knowledge to a real-world problem.
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  • Identify a problem that you can solve using deep learning.
  • Gather and prepare your data.
  • Build and train your deep learning model.
  • Evaluate the performance of your model and make improvements as needed.
  • Deploy your model and monitor its performance.

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